Emma Perracchione - Ph.D - UniGe

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Emma Perracchione - Ph.D.

             Date of birth: 03/12/89
             Department of Mathematics DIMA,
             University of Genova
             Email: perracchione@dima.unige.it
             Email: emma.perracchione@libero.it

                         Position
03/20–Pres   PostDoc, Department of Mathematics DIMA, University of Genova, Artificial In-
             telligence for Solar Flares, advisor Prof. M. Piana.

                         Previous positions
03/19-20     PostDoc, Department of Mathematics Tullio Levi-Civita, University of Padova, Ma-
             chine Learning and Data Fusion methods with application to environmental data,
             advisor Prof. M. Putti; founded by UE ERA-PLANET GA n. 689443.
A.Y. 18/19   Contract Professor, Department of Industrial Engineering, University of Padova.
3/18-3/19    PostDoc, Department of Mathematics Tullio Levi-Civita, University of Padova, Data
             Assimilation Methods for Machine Learning with application to environmental data,
             advisor Prof. M. Putti; founded by UE ERA-PLANET GA n. 689443.
A.Y. 17/18   Contract Professor, Department of Industrial Engineering, University of Padova.
3/17–3/18    PostDoc, Department of Mathematics Tullio Levi-Civita, University of Padova,
             Radial basis functions approximations: stability issues and applications, advisor
             Prof. S. De Marchi; founded by Department of Mathematics Tullio Levi-Civita, No.
             BIRD167404.
1/14–3/17    Ph.D. student of the Doctoral School of Sciences and Innovative Technologies
             (Mathematics), University of Torino.

                         Education
24/03/17     Ph.D. in Mathematics cum Laudae, University of Torino. Advisor Prof. A. De Rossi
             RBF-Based Partition of Unity Method: Theory, Algorithms and Applications.
15/07/13     M.Sc. in Mathematics, University of Torino, (Numerical-Modelling Course), 110/110
             cum Laudae and Honors.
20/07/11     B.Sc. in Mathematics, University of Torino.

                         Research interests
             Approximation theory, scientific computing, scattered data interpolation, mathe-
             matical modelling, biomathematics, applied mathematics, reduced order methods.

                         Scientific collaborations
             Prof. M. Buhmann, (University of Giessen, Germay); Prof. M.W. Farthing, Dr.
             S. Dutta (US Army, USA); Prof. E. Larsson, (University of Uppsala, Sweden);

                                                    1
Prof. T. Chácon Rebollo, (University of Sevilla, Spain); Prof. J.M. Vega (E.T.S.I.
             Aeronáuticos, UPM, Madrid, Spain); Prof. M. Azaïez (INP Bordeaux, France); Prof.
             G.E. Fasshauer (Colorado School of Mines, Golden, CO); Prof. A. Neisy (Allameh
             Tabataba’I University, Tehran, Iran); Prof. M. Piana (University of Genova); Prof.
             S. De Marchi, Prof. A. Martínez (University of Padova, Italy); Dr. G. Santin
             (University of Stuttgart, Germany); Prof. M. Rossini (University of Milano Bicocca,
             Italy); Prof. E. Venturino, Prof. A. De Rossi, Prof. R. Cavoretto, Dr. I. Stura
             (University of Torino, Italy).

                            Participation in research groups
2017–Pres.   Member   of   the   Research ITalian network on Approximation (RITA).
2016–Pres.   Member   of   the   Italian Society for Applied and Industrial Mathemathics (SIMAI).
2015–Pres.   Member   of   the   Unione Matematica Italiana (UMI).
2013–Pres.   Member   of   the   National Group for Scientific Computing (GNCS-INdAM).

                            Member of organizing committees
2019         Member of the organizing committee of the Dolomites Research Week on Approxi-
             mation (DRWA19), Canazei, Italy, September 2-6, 2019.
2018         Member of the organizing committee of the Dolomites Research Week on Approxi-
             mation (DRWA18), Canazei, Italy, September 10-14, 2018.
2018         Member of the organizing committee of the workshop Seminari Padovani di Analisi
             Numerica (SPAN18), Padova, Italy, May 3-4, 2018.
2016         Member of the organizing committee of the workshop Il nettare della matematica,
             Torino, Italy, October 7, 2016.
2016         Member of the organizing committee of the miniworkshop Kernel-based methods and
             function approximation, Torino, Italy, February 5, 2016.
2015         Member of the local organizing committee of the International Workshop CAMo:
             from molecules to modeling, Torino, Italy, September 14-15, 2015.
2014–2016    Member of the organizing committee of the Ph.D. Seminaries of the Department of
             Mathematics G. Peano, University of Torino.

                            Editor
2018         Guest editor for the Dolomites Research Notes on Approximation – Special issue
             SPAN2018.

                            Awards, prizes and grants
2017         Granted participant for the ENUMATH17, September 25-29 2017, sponsored by
             GNCS-INdAM.
2014–2016    Three-years Ph.D. scholarship sponsored by University of Torino.
2016         Funding Young Researchers for the project Tecniche per l’approssimazione locale
             ottimale con metodi meshfree, sponsored by GNCS-INdAM (used for research period
             abroad).
2015         Three-months granted student for the DOC-COURSE in Applied Mathematics and
             Optimization, March 2 - May 29, 2015, sponsored by European Cooperation in
             Science and Technology, University of Sevilla, University of the Basque Country
             and Basque Center for Applied Mathematics.

                                                         2
2015        Award Silver Medal sponsored by the University of Torino for the best master thesis
            in the academic year 2012-2013.
2015        Prize Luciana Picco Botta sponsored by the University of Torino for the best master
            thesis in the academic year 2012-2013.
2014        Granted student for the Dobbiaco Summer School, June 15-20 2014, sponsored by
            GNCS-INdAM.

                           Fundings and participation in research projects
2020        Collaborator for the project Approssimazione multivariata ed applicazioni, PI: Lucia
            Romani, sponsored by GNCS-INDAM.
2019        Collaborator for the project Kernel-based approximation, multiresolution and sub-
            division methods and related applications, PI: Francesco Dell’Accio, sponsored by
            GNCS-INDAM.
2018        Collaborator for the project Metodi, algoritmi e applicazioni dell’approssimazione
            multivariata, PI: Alessandra De Rossi, sponsored by GNCS-INDAM.
2016        Collaborator for the project: Il nettare della matematica, sponsored by Fondo Fon-
            dazione Ricerca e Talenti, Fondazione CRT, Torino.
2016–2017   Collaborator for the two-years project: Metodi e modelli numerici per le scienze
            applicate, sponsored by University of Torino.
2015–2016   Collaborator for the two-years project: Metodi numerici nelle scienze applicate,
            sponsored by University of Torino.
2015–2016   Collaborator for the two-years project: Tecniche di interpolazione per PDE, spon-
            sored by University of Torino.

                           Research period abroad and visits
2016        Visiting researcher invited by Prof. S. De Marchi (University of Padova, Depart-
            ment of Mathematics), 28-30 November, 2016.
2015        Visiting researcher invited by Prof. M. Azaïez (INP Bordeaux, France), 18-23 Oc-
            tober, 2015.
2015        Three months in Sevilla and Bilbao (Spain) for the DOC-COURSE in Applied Math-
            ematics and Optimization. The activity consisted in four courses in applied mathe-
            matics and research activity.

                           Personal skills
Computer    Good knowledge of: Microsoft Office Tools, C++, SAS Enterprise Miner1 , Phyton,
skills      Fortran, Xppaut, POV-Ray, MATLAB (excellent), Maple (excellent), Statistica (ex-
            cellent).
Languages   Italian (mother tongue), English2 (B2), French3 (speaking and understanding B2,
            writing A2), Spanish (A1).
Personal
skills        1
                 Certified by Regione Piemonte and University of Torino for the course Statistica e Data Mining
            per le Applicazioni, 23/05/11.
               2
                 IESOL, issued by City & Guilds, 03/05/14, (First class pass).
               3
                 Attestation Européenne d’Études Françaises, issued by Centre Méditerranéen d’Études
            Françaises, 17/09/2005. Diplôme d’Études en langue Françaises DELF A2, issued by Ministère
            de L’Éducation Nationale de L’Ensegnement et de la Recherche, 29/06/06.

                                                            3
Good communication and organizational skills gained through the participation in
   various university team projects.

                Referee/reviewer
   Referee for the following journals
   Applied Mathematics and Computation; Computers and Mathematics with Ap-
   plications; Journal of Computational and Applied Mathematics; Mathematics and
   Computers in Simulation; The European Physical Journal Plus; International Jour-
   nal of Control; International Journal of Nonlinear Sciences and Numerical Simula-
   tion; Journal of Statistical Theory and Applications; Dolomites Research Notes on
   Approximations; Mathematical Reviews (AMS).

   Referee for the following conference proceedings and volumes
   LSSC proceedings of the Eleventh International Conference on Large-Scale Scientific
   Computations June 10-14, 2019, Sozopol, BULGARIA; AIP Conf. Proc. of the
   International Conference Numerical Computations: Theory and Algorithms, Pizzo
   Calabro, Italy, 19-25 July.

                Publications
   Technical reports
1. E. Perracchione, M. Polato, W. Erb, F. Piazzon, F. Marchetti, F. Aiolli, B. Bayat, A.
   Botto, S. De Marchi, S. Kollet, C. Montzka, A. Sperduti, M. Vianello, M. Putti, Mod-
   elling and processing services and tools, 2019, GEO Essential Deliverable 1.3; http:
   //www.geoessential.eu/wp-content/uploads/2019/10/Deliverable1.3_2019Final.
   pdf.

2. E. Perracchione, M. Polato, W. Erb, F. Piazzon, F. Marchetti, F. Aiolli, B. Bayat, A.
   Botto, S. De Marchi, S. Kollet, C. Montzka, A. Sperduti, M. Vianello, M. Putti, Data
   fusion guidelines, 2019, GEO Essential Deliverable 1.6; http://www.geoessential.
   eu/wp-content/uploads/2019/10/Deliverable1.6_2019Final.pdf.

3. E. Perracchione, M. Polato, D. Tran, F. Piazzon, F. Aiolli, S. De Marchi, S. Kollet,
   C. Montzka, A. Sperduti, M. Vianello, M. Putti, Modelling and processing services
   and tools, 2018, GEO Essential Deliverable 1.3; http://www.geoessential.eu/
   wp-content/uploads/2019/01/GEOEssential-D_1.3_final.pdf.

4. E. Perracchione, M. Polato, D. Tran, F. Piazzon, F. Aiolli, S. De Marchi, S. Kollet, C.
   Montzka, A. Sperduti, M. Vianello, M. Putti,Data fusion guidelines, 2018, GEO Es-
   sential Deliverable 1.6; http://www.geoessential.eu/wp-content/uploads/2019/
   01/GEOEssential-D_1.6_final.pdf.

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Miscellanea
 1. E. Perracchione, Kernel-based methods: a general overview, Seminario Dottorato
    2017/2018, pp. 81–90, 2018; https://dottorato.math.unipd.it/sites/default/
    files/inline-files/Booklet_Seminario_Dottorato_2017-2018.pdf

    Publications in journals
 1. E. Perracchione, RBF-based tensor decomposition with applications to oenology,
    Dolomites Res. Notes Approx. 13 (2020), 36–46.

 2. S. De Marchi, W. Erb, F. Marchetti, E. Perracchione, M. Rossini, Shape-Driven
    Interpolation with Discontinuous Kernels: Error Analysis, Edge Extraction and Ap-
    plications in Magnetic Particle Imaging, SIAM J. Sci. Comput. 42 (2020), B472–
    B491.

 3. S. De Marchi, F. Marchetti, E. Perracchione, Jumping with Variably Scaled Discon-
    tinuous kernels (VSDKs), to appear on BIT Numerical Mathematics, 2019;
    https://doi.org/10.1007/s10543-019-00786-z.

 4. S. De Marchi, F. Marchetti, E. Perracchione, D. Poggiali, Polynomial interpolation
    via mapped bases without resampling, J. Comput. Appl. Math. 364, 2020.

 5. R. Campagna, S. Cuomo, S. De Marchi, E. Perracchione, G. Severino, A stable
    meshfree PDE solver for source-type flows in porous media, Appl. Num. Math. 149
    (2020), pp. 30–42.

 6. I. McCallum, C. Montzka, B. Bayat, S. Kollet, A. Kolotii, N. Kussul, M. Lavreniuk,
    A. Lehmann, J. Maso, P. Mazzetti, A. Mosnier, E. Perracchione, M. Putti, M. San-
    toro, I. Serral, L. Shumilo, D. Spengler, S. Fritz, Developing food, water and energy
    nexus workflows, Int. J. Digit. Earth, (2019), DOI: 10.1080/17538947.2019.1626921.

 7. M. Buhmann, S. De Marchi, E. Perracchione, Analysis of a new class of rational RBF
    expansions, to appear on IMA J. Numer. Anal. 2019; doi.org/10.1093/imanum/drz015.

 8. M. Aminian Shahrokhabadi, A. Neisy, E. Perracchione, M. Polato, Learning with
    subsampled kernel-based methods: Environmental and financial applications, Dolomites
    Res. Notes Approx. 12 (2019), pp. 17–27.

 9. S. De Marchi, A. Martínez, E. Perracchione, M. Rossini, RBF-based partition of
    unity methods for elliptic PDEs: Adaptivity and stability issues via variably scaled
    kernels, J. Sci. Comput. 79 (2019), pp. 321-344, doi: 10.1007/s10915-018-0851-2.

10. S. De Marchi, A. Martínez, E. Perracchione, Fast and stable rational RBF-based
    partition of unity interpolation, J. Comput. Appl. Math. 349 (2019), pp. 331–343;
    doi.org/10.1016/j.cam.2018.07.020.

11. M. Azaïez, T. Chácon Rebollo, E. Perracchione, J. M. Vega, Recursive POD expan-
    sion for advection-diffusion-reaction equation, Comm. Comput. Physics 24 (2018),
    pp. 1556–1578, doi: 10.4208/cicp.OA-2017-0257.

                                              5
12. E. Perracchione, Rational RBF-based partition of unity method for efficiently and
    accurately approximating 3D objects, Comput. Appl. Math. (2018), 37, pp. 4633–
    4648, DOI: 10.1007/s40314-018-0592-8.

13. I. Stura, E. Perracchione, G. Migliaretti, F. Cavallo, A new numerical method for
    processing longitudinal data: clinical applications, Epidemiology Biostatistics and
    Public Health 15 (2018), pp. 1–8, DOI: 10.2427/12881.

14. R. Cavoretto, A. De Rossi, E. Perracchione, Optimal selection of local approximants
    in RBF-PU interpolation using bivariate LOOCV, J. Sci. Comput. 74 (2018), pp.
    1–22, DOI: 10.1007/s10915-017-0418-7.

15. A. De Rossi, E. Perracchione, E. Venturino, Meshless partition of unity method for
    attraction basins of periodic orbits: Fast detection of separatrix points, Dolomites
    Res. Notes Approx. 11 (2018), pp. 15–22.

16. A. De Rossi, E. Perracchione, Positive constrained approximation via RBF-based
    partition of unity method, J. Comput. Appl. Math. 319 (2017), pp. 338–351, DOI:
    10.1016/j.cam.2017.01.024.

17. R. Cavoretto, S. De Marchi, A. De Rossi, E. Perracchione, G. Santin, Partition of
    unity interpolation using stable kernel-based techniques, Appl. Numer. Math. 116
    (2017), pp. 95–107, DOI:10.1016/j.apnum.2016.07.005.

18. E. Perracchione, I. Stura, RBF kernel method and its applications to clinical data,
    Dolomites Res. Notes Approx. 9 (2016), pp. 13–18, DOI: 10.14658/pupj-drna-2016-
    Special-Issue-3.

19. A. De Rossi, E. Perracchione, E. Venturino, Fast strategy for PU interpolation: An
    application for the reconstruction of separatrix manifolds, Dolomites Res. Notes
    Approx. 9 (2016), pp. 2–12, DOI: 10.14658/pupj-drna-2016-Special-Issue-2.

20. R. Cavoretto, A. De Rossi, E. Perracchione, Efficient computation of partition of
    unity interpolants through a block-based searching technique, Comput. Math. Appl.
    71 (2016), pp. 2568–2584, DOI: 10.1016/j.camwa.2016.04.021.

21. R. Cavoretto, A. De Rossi, E. Perracchione, E. Venturino, Graphical representa-
    tion of separatrices of attraction basins in two and three dimensional dynamical
    systems, Int. J. Comput. Math. 14 (2017), pp. 1750008-1–1750008-16, DOI:
    10.1142/S0219876217500086.

22. R. Cavoretto, A. De Rossi, E. Perracchione, E. Venturino, Robust approximation al-
    gorithms for the detection of attraction basins in dynamical systems, J. Sci. Comput.
    68 (2016), pp. 395–415, DOI: 10.1007/s10915-015-0143-z.

23. R. Cavoretto, A. De Rossi, E. Perracchione, Partition of unity interpolation on
    multivariate convex domains, Int. J. Model. Simul. Sci. Comput. 6 (2015), pp.
    1–17, DOI: 10.1080/00207160.2013.867955.

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24. R. Cavoretto, A. De Rossi, E. Perracchione, E. Venturino, Reliable approximation
    of separatrix manifolds in competition models with safety niches, Int. J. Comput.
    Math. 92 (2015), pp. 1826–1837, DOI: 10.1142/S1793962315500348.
    Publications in conference proceedings and volumes
 1. S. De Marchi, W. Erb, E. Francomano, F. Marchetti, E. Perracchione, D. Poggiali,
    Fake nodes approximation for magnetic particle imaging, in: IEEE, Proc. of Melecon
    2020.
 2. R. Cavoretto, A. De Rossi, G. E. Fasshauer, M. J. McCourt, E. Perracchione,
    Anisotropic weights for RBF-PU interpolation with subdomains of variable shapes,
    in: F.A. Radu at al. (Eds.), Proc. of ENUMATH17, 2019, Lecture Notes in Com-
    putational Science and Engineering 126, pp. 93-101, DOI 978-3-319-96415-7-6.
 3. R. Cavoretto, A. De Rossi, E. Perracchione, Surface approximation of basins of
    attraction through RBF interpolation schemes, in: J. Vigo-Aguiar et al. (Eds.),
    Proc. of CMMSE17, vol. 2, 2017, pp. 523–529.
 4. R. Cavoretto, A. De Rossi, E. Perracchione, RBF-PU interpolation with variable
    subdomain sizes and shape parameters, in: T.E. Simos et al. (Eds.), NUMPTA16
    AIP Conf. Proc., vol. 1776, 2016, pp. 070003-1–070003-4, DOI: 10.1063/1.4965349.
 5. R. Cavoretto, S. De Marchi, A. De Rossi, E. Perracchione, G. Santin, Approximating
    basins of attraction for dynamical systems via stable radial bases, in: T.E. Simos et
    al. (Eds.), ICNAAM15 AIP Conf. Proc., vol. 1738, 2016, pp. 390003-1–390003-4,
    DOI: 10.1063/1.4952177.
 6. E. Perracchione, I. Stura, A RBF-PSO based approach for modeling prostate cancer,
    in: T.E. Simos et al. (Eds.), ICNAAM15 AIP Conf. Proc., vol. 1738, 2016, pp.
    390008-1–390008-4, DOI: 10.1063/1.4952182.
 7. R. Cavoretto, A. De Rossi, E. Perracchione, Fast and flexible interpolation via PUM
    with applications in population dynamics, in: T.E. Simos et al. (Eds.), ICNAAM15
    AIP Conf. Proc., vol. 1738, 2016, pp. 390005-1–390005-4, DOI: 10.1063/1.4952179.
 8. R. Cavoretto, S. De Marchi, A. De Rossi, E. Perracchione and G. Santin, RBF
    approximation of large datasets by partition of unity and local stabilization, in: I.P.
    Hamilton et al. (Eds.), Proc. of CMMSE15, 2015, pp. 317–326.
 9. G. Sabetta, E. Perracchione, E. Venturino, Wild herbivores in forests: four case
    studies, in: R.P. Mondaini (Ed.), Proc. of BIOMAT14, 2015, pp. 56–77, DOI:
    10.1142/9789814667944-0005.
10. A. De Rossi, I. Ferrua, E. Perracchione, G. Ruatta, E. Venturino, Competition models
    with niche for squirrel population dynamics, in: T.E. Simos et al. (Eds.), ICNAAM13
    AIP Conf. Proc., vol. 1558, 2013, pp. 1818–1821, DOI: 10.1063/1.4825880.
11. R. Cavoretto, A. De Rossi, E. Perracchione, E. Venturino, Reconstruction of separa-
    trix curves and surfaces in squirrels competition models with niche, in: I.P. Hamilton
    et al. (Eds.), Proc. of CMMSE13, vol. 2, 2013, pp. 400–411.

                                               7
Softwares
 1. Learning via Variably scaled kernels - Software in Python, available at
    https://github.com/emmaA89/SVM-VSK.

 2. Jumping with VSDKs - Software in Matlab, available at
    https://github.com/emmaA89/VSDKs.

 3. Modelling and processing services and tools (work in progress for GeoEssential
    project) - Software in Python, available at
    https://github.com/emmaA89/vlabprediction.

 4. Fake nodes for polynomial interpolation - Software in Python, available at
    https://github.com/emmaA89/FakeNodes/.

 5. Learning with subsampled kernel-based methods - Software in Python, available at
    https://github.com/emmaA89/vlabtestrepo/.

 6. Fast and Stable Rational RBF-based Partition of Unity interpolation - Software in
    Matlab, available at https://github.com/emmaA89/FastRVSK_PU.

 7. Hybrid Variably Scaled Kernels by Partition of Unity for elliptic PDEs - Software
    in Matlab, available at https://github.com/emmaA89/HVSK_PU.

 8. Robust approximation algorithms for the detection of attraction basins in dynamical
    systems - Software in Matlab, available at http://hdl.handle.net/2318/1520518.

 9. Fast computation of partition of unity interpolants through block-based data struc-
    tures - Software in Matlab, available at http://hdl.handle.net/2318/158790.

10. Partition of unity interpolation using stable kernel-based techniques - Software in
    Matlab available at http://hdl.handle.net/2318/1527447.

11. Optimal selection of local approximants in RBF-PU interpolation - Software in Mat-
    lab available at http://hdl.handle.net/2318/1559094.

                 Scientific communications
    Scientific communications with invitation letter for minisymposia
 1. Speaker for the special session Theory and Practice of meshless Fluid-Simulations
    at ICIAM19, Valencia, Spain, July 15-20, 2019.
    Discontinuous kernel-based ROMs for modeling heat transfer.

 2. Speaker for the special session Recent Advances in Radial Basis Function Methods
    at ICOSAHOM18, London, UK, July 09-13, 2018.
    Fast and stable rational RBF-based Partition of Unity interpolation, joint work with
    M.D. Buhmann, S. De Marchi, A. Martínez, E. Perracchione.

                                             8
3. Speaker for the special session Kernel methods for large scale problems: Algorithms
   and applications at ENUMATH17, Voss, Norway, September 25-29, 2017.
   Anisotropic weights for RBF-PU interpolation with subdomains of variable shapes,
   joint work with R. Cavoretto, A. De Rossi, G.E. Fasshauer.

4. Speaker for the special session Kernel Methods at MMCS16, Toensberg, Norway,
   June 23-28, 2016.
   On the optimal choice of local RBF approximants in the partition of unity interpo-
   lation, joint work with R. Cavoretto, A. De Rossi.

5. Speaker for the special session Mathematical Models and Numerical Methods in Life
   Sciences at ICNAAM15, Rhodes, Greece, September 23-29, 2015.
   Fast and flexible interpolation via PUM with applications in population dynamics,
   joint work with R. Cavoretto, A. De Rossi.

   Scientific communications as speaker
1. E. Perracchione, RBFs and tensors for scoring wines, Multivariate Approximation:
   Theory and Applications MATA2020, January 16-18, 2020, Perugia, Italia.

2. E. Perracchione (EU project, PI M. Putti), Data-based models for satellite images ,
   Numerical Computations: Theory and Algorithms, NUMTA 2019, 15-21 June, Capo
   Rizzuto, Italia.

3. E. Perracchione (EU project, PI M. Putti), Discontinuous reduced bases for satellite
   images, Approssimazione Multivariata: Teoria ed Applicazioni AMTA 2019, 24-26
   January, Napoli, Italia.

4. M. Aminian Shahrokhabadi, E. Perracchione, M. Polato, M. Putti, Smooth kernel
   machines for environment and finance, Dolomites Research Week on Approximation
   (DRWA18), Alba di Canazei, Italy, September 10-14, 2018.

5. M. Azaïez, T. Chácon Rebollo, E. Perracchione∗ , J. M. Vega, Recursive POD for
   real time simulations of a ventilated temperature-controlled room, Seminari Padovani
   di Analisi Numerica, Padova, Italy, May 3-4, 2018.

6. E. Perracchione∗ , M. Polato, D. Tran, F. Piazzon, F. Aiolli, S. De Marchi, A. Sper-
   duti, M. Vianello, M. Putti, Modelling and processing services, GeoEssential Meet-
   ing, Palma di Maiorca, Spain, April 23-25, 2018.

7. S. De Marchi, A. Martínez, E. Perracchione∗ , Numerical linear algebra techniques for
   efficient RBFs interpolation and collocation, Due giorni di Algebra Lineare Numerica
   e Applicazioni, Padova, Italy, February 8-9, 2018.

8. S. De Marchi, A. Martínez, E. Perracchione∗ , Rational stable RBF-PU interpolation
   via VSKs, Dolomites Research Week on Approximation (DRWA17), Alba di Canazei,
   Italy, September 4-8, 2017.

                                             9
9. S. De Marchi, A. Martínez, E. Perracchione∗ , M. Rossini, RBF-based Partition of
    Unity Method for Elliptic PDEs: An Adaptive Greedy Approach, miniworkshop Mul-
    tivariate Approximation: Theory, Algorithms and Applications (MATAA17), May
    25–26, 2017, Turin, Italy.

10. E. Perracchione, On the adaptivity of the PU method for interpolation and collocation,
    Padova, Italy, October 29, 2016.

11. C. Guiot, E. Perracchione, I. Stura, Follow-app: un amico per la prostata, Notte
    Europa dei Ricercatori, Torino, Italy, September 30, 2016.

12. R. Cavoretto, A. De Rossi, E. Perracchione∗ , Approximation of scattered data using
    positive and accurate partition of unity interpolants, Dolomites Workshop on Con-
    structive Approximation and Applications (DWCAA16), Alba di Canazei, Italy,
    September 8-13, 2016.

13. R. Cavoretto, A. De Rossi, E. Perracchione∗ , E. Venturino, Efficient algorithms for
    kernel-based partition of unity interpolation with applications in geometric design,
    miniworkshop Kernel-based methods and function approximation, Torino, Italy,
    February 5, 2016.

14. E. Perracchione, Efficient RBF-PU interpolation through block-based data structures,
    Welcome Home Workshop, Torino, Italy, December 21, 2015.

15. R. Cavoretto, A. De Rossi, E. Perracchione∗ , Detection and approximation of attrac-
    tion basins in dynamical systems, XX UMI (UMI15), Siena, Italy, September 7-12,
    2015.

16. M. Azaïez, T. Chácon Rebollo, M. Gómez Marmol, E. Perracchione∗ , J. M. Vega, Re-
    cursive POD with applications in fluid dynamics: modelling of air-wall heat transfer
    in buildings, BCAM Workshop on Mathematics and its Applications, Bilbao, Spain,
    May 27-29, 2015.

17. R. Cavoretto, A. De Rossi, E. Perracchione∗ , E. Venturino, An efficient algorithm
    to model dynamical system’s separatrix manifolds, Dolomites Research Week on
    Approximation (DRWA14), Alba di Canazei, Italy, September 8-12, 2014.

18. R. Cavoretto, A. De Rossi, E. Perracchione∗ , E. Venturino, Approximation of the
    basins of attraction in dynamical systems, Models in Population Dynamics and Ecol-
    ogy (MPDE14), Torino, Italy, August 25-29, 2014.

                 Teaching experience
    Thesis
 1. Co-supervisor of the following master thesis: An adaptive radial basis function
    method for solving PDEs by Danilo Stocchino (UNIPD).

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Teaching abroad
1. Lecturer for the workshop Meshless Methods and Applications in Finance, Depart-
   ments of Mathematics of Allameh Tabataba’I University, Tehran, Iran, February
   2019 (6 hours, co-lecturer with S. De Marchi, E. Larsson).

2. Lecturer for the workshop Meshless Methods: Theory, Algorithms, Applications and
   Software, Departments of Mathematics of Allameh Tabataba’I University, Tehran,
   Iran, January 2018 (8 hours, co-lecturer with S. De Marchi).

   Teaching professor
1. Numerical Analysis, bachelor course, Department of Industrial Engineering Univer-
   sity of Padova, March 2019 - February 2019 (24 hours, co-lecturer with F. Piazzon).

2. Numerical Analysis, bachelor course, Department of Industrial Engineering Univer-
   sity of Padova, March 2018 - February 2018 (8 hours, co-lecturer with S. De Marchi).

   Tutor
1. Numerical Analysis, bachelor course, Department of Informatics, University of Padova,
   held by M. Redivo Zaglia, A. Martínez, March 2019 - June 2019 (20 hours).

2. Numerical Analysis, bachelor course, Department of Industrial Engineering, Univer-
   sity of Padova, held by A. Martínez and M. Vianello, March 2018 - June 2018 (24
   hours).

3. Percorso di Eccellenza, bachelor course, Department of Mathematics G. Peano, Uni-
   versity of Torino, held by P. Caldiroli, March 2018 - June 2018 (20 hours).

4. Numerical Analysis, bachelor course, Department of Industrial Engineering, Univer-
   sity of Padova, held by A. Martínez and M. Vianello, March 2017 - June 2017 (26
   hours).

5. Percorso di Eccellenza, bachelor course, Department of Mathematics G. Peano, Uni-
   versity of Torino, held by P. Caldiroli, March 2017 - June 2017 (20 hours).

6. Advanced Numerical Analysis, master course, Department of Mathematics G. Peano,
   University of Torino, held by R. Cavoretto and A. De Rossi, October 2016 - January
   2017 (22 hours).

7. Advanced numerical analysis, master course, Department of Mathematics G. Peano,
   University of Torino, held by R. Cavoretto and A. De Rossi, October 2015 - December
   2015 (18 hours).

8. Mathematics, bachelor course, Department of Agricultural Sciences, University of
   Torino, held by F. Ferrara, October 2015 - February 2016 (20 hours).

                                           11
Seminarial activities for undergraduate students
1. Introduction to Numerical Analysis for “Progetto Lauree Scientifiche”, held by S. De
   Marchi, I.I.S Newton, Piove di Sacco, January-February 2018 (6 hours).

2. Kernel-based methods: a general overview, Seminari del dottorato, University of
   Padova, Italy, March 28, 2018.

3. Api informatiche, Il nettare della matematica, Torino, Italy, October 7, 2016.

4. Scattered data approximation: Fast algorithms and applications, Ph.D. Seminaries,
   University of Torino, Italy, October 15, 2014.

5. Introduzione alla matematica applicata, I.I.S. Fermi-Galilei, Cirié, Italy, January 17,
   2013.

                Formative activities
   Conferences, workshops and schools
1. Approssimazione Multivariata: Teoria ed Applicazioni, Palermo, Italy, December
   8-10, 2017.

2. Franco-Italian mathematical ecology days, University of Torino, Italy, November 16-
   17, 2016.

3. Dolomites Research Week on Approximation (DRWA15), RBF-QR method, Polyno-
   mial approximation on Lissajous curves and Constructive non-polynomial approxi-
   mations of spherical functions: Algorithm, analysis, fast evaluation and application,
   Alba di Canazei Italy, September 5-8, 2015. Lectures: Prof. E. Larsson (University
   of Uppsala, Sweden); Prof. L. Bos (University of Verona, Italy); Prof. M. Ganesh
   (University of Golden, Colorado, USA).

4. Mixed Integer Nonlinear Programming (MINLP15), Sevilla, Spain, March 30-April
   1, 2015.

5. Dobbiaco Summer School, Matrix Theory and Computation with Applications to
   Network Analysis, Quantum Chemistry and Dynamical Systems, Dobbiaco, Italy,
   June 15-20, 2014. Lecturers: Prof. M. Benzi (University of Emory, Atlanta, USA);
   Prof. N. Guglielmi (University of L’Aquila, Italy); Prof. M.L. Overton (Courant
   Institute, New York, USA).

   Courses
1. Advanced course in Nonlinear Optimization, University of Sevilla, Spain, 2015. Lec-
   turers: Prof. E. Carrizosa, Prof. J. Puerto (University of Sevilla, Spain); Prof. J.B.
   Lasserre (LAASS-CNRS-Toulouse, France).

2. Multiscale and Multiphysic Computational Mathematical Modeling, University of
   Sevilla, Spain, 2015. Lecturers: Prof. D. Pardo, (University of the Basque Country,
   Spain); Prof. J. Jansson (Basque Center for Applied Mathematics, Spain).

                                             12
3. Computational fluid dynamics, University of Sevilla, Spain, 2015. Lecturers: Prof.
   E.F. Nieto, Prof. F. Guillen (University of Sevilla, Spain); Prof. L. Remaki (Basque
   Center for Applied Mathematics, Spain).

4. Modelling and optimization algorithms in networks design and energy planning, Uni-
   versity of Sevilla, Spain, 2015. Lecturers: Prof. J.A. Mesa, Prof. F. Ortega-Riejos
   (University of Sevilla, Spain); Prof. G. Perez, Prof. M. Merino (University of the
   Basque Country, Spain); L. Escudero (European Cooperation in Science and Tech-
   nology).

5. Optimization methods for engineering, Politecnico di Torino, Italy, 2014. Lecturers:
   Prof. M. Repetto, Prof. F. Freschi (Electrical Engineering Department, Politecnico
   di Torino, Italy).

6. Numerical Methods for Scattered Data Approximation, University of Torino, Italy,
   2014. Lecturers: Prof. A. De Rossi, Prof. R. Cavoretto (Department of Mathemat-
   ics, University of Torino, Italy).

7. Some recent models in mathematical population theory, University of Torino, Italy,
   2014. Lecturers: Prof. E. Venturino (Department of Mathematics, University of
   Torino, Italy).

                                 Last updated: June 1, 2020 •

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